europe 2020 · 16:40 - 17:05 leading a tool-centric data governance effort without a cdo benjamin...
TRANSCRIPT
Case Studies & Contributors Include:
• Standard Life
Aberdeen
• Allianz
• Zurich
• Heineken
• Siemens Managed
Services
• Hugo Boss
• Aegon Asset
Management
Europe
• Walgreens Boots
Alliance
• Waitrose &
Partners
• Jacobs Douwe
Egberts
• The Pensions
Regulator
• Dwr Cymru
Welsh Water
• Göteborg Energi
AB
• The Environment
Agency
• PwC
• Capgemini
• OP Financial
Group
• England and
Wales Cricket
Board
• FrieslandCampina
• Capitec Bank
• Farfetch
• WAGO
16th Annual Conference 2-5 November 2020
The Tower Hotel London
irmuk.co.uk
Donald Farmer Principal
TreeHive Strategy
William McKnight PresidentMcKnight
Consulting Group
Ieva LangenfeldeData Governance
ManagerHeineken
Gerard Bartley Manager Global Master
DataJacobs Douwe Egberts
Yaniv Naor Senior Global MDM
Strategist and Business Lead
Hugo Boss
Guy HarveyData Transformation
LeadSiemens Managed
Services
Siobhan BowieHead of Data GovernanceWaitrose &
Partners
Donna WaymanHead of UK
PortfolioZurich Insurance
Dr. Fran CardellsSpecial Advisor
Allianz
Karen WoodSenior Manager
Master DataWalgreens Boots
Alliance
Why Attend this event
� Europe’s Only Co-Located Conferences on Data Governance & MDM. One event, in one to four days, gives you the unique opportunity to leverage the powerful combination of Data Governance and MDM to deliver business outcomes through trusted information.
� Four Tracks With More Than Fifty Sessions. The co-located conferences are neither analyst led nor vendor led. Learn from over 50 world renowned independent speakers and major users of Data Governance and MDM.
� Co-location with the Enterprise Data and Business Intelligence & Analytics Conference Europe. Delegates will therefore have a total of 6 conference tracks and over 60 sessions to choose from.
� Focus on End-User Case Studies. Choose from over 30 case studies and take an inside look at the successes and challenges behind real-world Data Governance and MDM implementations.
� Eight “Fast Track” Pre-Conference Workshops and Three Post Conference Workshops. Choose from introductory or advanced levels, enabling you to get up to speed or fine tune your performance.
� Networking. Network with an outstanding group of MDM, Data Governance and Enterprise Data Management attendees and speakers. This is a tremendous opportunity to discuss your work issues with your peer group.
� MDM & Data Governance Solution Providers. Discuss your MDM and Data Governance challenges with leading solution providers.
SponsorsKeynotes and Featured Speakers Include:
Produced by
Group
Discounts
Available
Two Co-Located Conferences
Europe 2020
The “Must Attend” Event for Data Governance & MDM Professionals
Available via Live Streaming and Face to Face
irmuk.co.uk
irmuk.co.uk
2
Keynotes Plenary Keynotes
The Culture of Governance Donald Farmer, Principal, TreeHive Strategy
Data Governance is top of mind for many executives and managers today and there are a wide variety of tools and frameworks offering to help. But one aspect is often over-looked - the organizational culture that enables governance as a practice. Current governance programs too often treat users as unreliable, or even malicious, by default. Yet the overwhelm-ing majority of business and IT professionals simply want to do their job as effectively as possibly. Programs which get in their way will be worked around or defied. Programs which work with their interests will be supported. In
this keynote, we’ll explore how we can build an organizational culture which supports and enhances governance. We’ll look at frame-works for developing a community of practice and tools for enabling and measuring engage-ment, compliance and collaboration. We’ll draw on world-wide examples and introduce techniques which are suitable for a wide range of organizational styles, with an emphasis on promoting and analyzing best practices.
Keynote Panel: Where Do We Go From Here? And Conference Close
Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
During the conference, the delegates have listened to over 60 speakers, heard many case studies, received practical tips to help them in their daily lives and hopefully made some great new contacts. As we leave, we would like to summarise and discuss some of the important themes from the conference, asking where we go from here and get some views from delegates, in this highly interactive session. We’ll also be discussing the delegates’ biggest challenges they currently face (plus how the conference will help them with those) and what has struck a chord with them during the week.
Master Data Management Keynotes
MDM Keynote: A Fireside Chat Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts & Niels Stenfeldt, CEO, Stibo Systems
Join Gerard Bartley for a fireside chat with Niels Stenfeldt, CEO of Stibo Systems, a leader in the field of master data management systems and the oldest software company in the world. This is a unique opportunity for delegates to hear the views of a senior industry player on such topics as the current perception of data (and its management) in companies, the real maturity of data governance in businesses, the role of software in data management and what the future holds
for the data management industry. Niels will also give delegates useful tips and hints on software implementations, illustrated by real-life use cases - some good and some not so good – together with learnings.
Artificial Intelligence and Master Data Management: Hand in Hand
William McKnight, President, McKnight Consulting Group
Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data environment and the use of data. Master data
is key to this effort. All transformative projects require master data and usually many subject areas. Current efforts to deliver master data to the enterprise are cumbersome, inefficient and met with limited acceptance. Can artificial intelligence help? We’ll look at enterprise use cases of artificial intelligence and show the master data that is needed. We’ll see what some MDM vendors are doing with AI and how the future of MDM will be shaped by looking at some specific MDM actions influenced by AI.
Data Governance Keynotes
Data Governance: Holding a Mirror to Your Company
Guy Harvey, Data Transformation Lead, Siemens Managed Services
Ever thought why it’s taking so long to get started on Data Governance at your company and why all your efforts never seem to stick? Well, there just may be an answer. In order to get Data Governance established, it requires certain activities and behaviours but most of all its needs specific structures across the organi-sation to support it. In this presentation, I will go through some structures and behaviours across your organisation that are probably having a mirrored effect on your implementa-tion of Data Governance.
Guy has been working with companies for over 25 years to help them gain value and insight from their data. with his efforts over the past 9 years focussed mainly on Data Governance. Whilst he openly admits, not all his endeavors have been totally successful, he has learned valuable lessons along the way and is always willing to pass on knowledge of those hard-earned yards to anyone wanting to learn more about what works and, more importantly, what doesn’t.
Keynote Panel: How Data Governance Can Help you Turn your Data Assets into Tangible Value
Moderator: Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts Panellist: Stijn Christiaens, Co-founder & CTO, CollibraData is nowadays one of the most valuable as-sets an organisation can own and many strive to become more data-driven to succeed in an increasingly competitive environment. Howev-er, becoming data-driven is easier said than done. Many companies around the world are struggling to leverage their data assets to its fullest potential. A major cause of this is the absence of a data-driven culture within the or-ganisation as well as the lack of the necessary technology to support the transformation. The panel will discuss how data governance plays a critical role in enabling an organisation to become data-driven and highlight use cases illustrating how Data Governance can help to transform data assets into tangible value.
Shifting to AI Ready Governance: Practical Principles and Recipes
Dr. Fran Cardells, Special Advisor, Allianz
Data has proven its solid value as a business as-set and its vital role enabling AI. AI brings both unprecedented opportunities and risks. Given the increasing negative effects and negative press, with bots and algorithms operating far from corporate code of conduct, boards have made this topic a strategic imperative. Boards approach the topic from an ethical perspective such as Responsible AI and AI Ethics, yet far from operationalization. The aim of this pres-entation is:
• Explaining the agency problem in AI - where humans in the loop are not controlled
• Gaining intuition of the consequences
• Reviewing practical approaches drawing from the speakers professional experience
irmuk.co.uk 3
Agenda
Monday 2 November 2020: Pre-Conference Workshops Full Day 09:30 - 17:00
Morning Workshops - 09:30 - 12:45
Kick-starting your Data Management Initiative in Four Simple StepsDr. Bas van Gils, Strategy Alliance
Getting Started With Data Quality – A PrimerJon Evans, Equillian
Effective Data Governance in a Transformation EnvironmentSam Cremins, Associate - Data Governance, The Pensions Regulator
Practical Reference and Master Data ManagementChris Bradley, Data Management Advisors
Afternoon Workshops - 14:00- 17:15
How to Build, Manage & Enhance a Data TeamGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts & Ieva Langenfelde, Data Governance Manager, Heineken
Building a Business Aligned Data StrategyChris Bradley, Data Management Advisors
Establishing Data Governance: Teaching Dumbo to FlyJohan Lindholm, Data Governance Lead, Göteborg Energi AB
Reduce, Reuse, Recycle - What to Do When Data Governance has Been BinnedCharles Joseph, Datazed
Tuesday 3 November 2020: Conference Day 1 & Exhibits
09:00 - 09:10 Data Governance Conference and MDM Summit Opening, Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
09:10 - 10:00 Plenary Keynote
10:10 - 10:50 DG Keynote: Data Governance - Holding a Mirror to Your Company Guy Harvey, Data Transformation Lead, Siemens Managed Services
MDM Keynote: A Fireside ChatGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts & Niels Stenfeldt, CEO, Stibo Systems
Data Governance Data Governance & MDM Master Data Management Data Strategy
11:20 - 12:05 A Case Study in Implementing a Data Governance HubMary Drabble, Principal Data Governance Analyst, Standard Life Aberdeen
Data Management: from the TrenchesDr. Bas van Gils, Strategy Alliance
The Golden Triangle of CRM, MDM and DMPYaniv Naor, Senior Global MDM Strategist and Business Lead, Hugo Boss
Data is the New Oil? Data is Like Milk...Kitti Noemi Nemeth, Enterprise Data Manager Communications and Change Management, FrieslandCampina
12:15 - 13:00 Exploiting Existing Projects to Deliver Data Governance Initiatives Karen Reeds, Data Governance Special-ist, tada.data
Effective Data Governance Programme PlanningGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
How Good is Your Data?Karen Wood, Senior Manager, Master Data , Walgreens Boots Alliance
External Data Management – Inte-gral Part of the Data GovernanceMinna Stjernvall, Concept Owner of the External Data Services, OP Financial Group & Jussi Jutila, Siili Solutions Oyj
13:00 - 14:30 Networking Lunch, Exhibits & Lunchtime Sessions
14:30 - 15:15 MDM Keynote: Artificial Intelligence and Master Data Management: Hand in Hand, William McKnight, McKnight Consulting Group
15:25 - 16:10 Data Governance is About Change; How Göteborg Energi Established DGJohan Lindholm, Data Governance Lead, Göteborg Energi
DG and MDM - Managing Sibling RivalryCharles Joseph, Datazed
Product Data Vision as Foundation of State of the Art PIM and Multi Domain Data ModelsKersten Wirth, PIM-Consult GmbH
England Cricket Pushing the “Boundary” with Their DataDamian Smith, Head of IT, England and Wales Cricket Board
16:40 - 17:05 Leading a Tool-Centric Data Governance Effort Without a CDOBenjamin Bunting, Global Data Steward, Aegon Asset Management Europe
Session and Speaker TBC Governance, Migration & Change! The Three Musketeers for Improving Your Data EstateSam Cremins, Data Governance Advisor, The Pensions Regulator
How Data Governance Supports Data Science at Dŵr Cymru Welsh WaterJustin Doran, Data and Analytics Man-ager (Data Governance), Dŵr Cymru Welsh Water
17:05 - 18:05 Networking Drinks Reception and Exhibits
Wednesday 4 November 2020: Conference Day 2 & Exhibits
09:00 - 10:00 Plenary Keynote: The Culture of Governance, Donald Farmer, TreeHive Strategy
Data Governance Data Governance & MDM Master Data Management Data Strategy
10:30 - 11:15 How to Answer the Difficult Ques-tions about Data GovernanceIeva Langenfelde, Data Governance Manager, Heineken
Where’s Wally? Unearthing & Align-ing MDM Efforts at Farfetch Yasemin Kural, Head of Data Architecture & Miguel Jorge Macedo, Data Governance Manager, Farfetch
Master Data Processes: the Backbone of Successful MDM System ImplementationsDr. Christiana Klingenberg, msg systems ag & Thomas Brandstätter, Head of Digital Information Management in Corporate Marketing, WAGO Kontakttechnik GmbH
Data Quality by Design and by Default - Model GDPR Concepts for Data ProtectionMichael McMorrow, MMM Data Perspectives
11:25 - 12:10 10 Years On: Success, Difficulty, Evolution: The History of DG in a Government OrganisationIain Andrews, Data Integrity and Flood Data Manager & Nick Keen, Data Governance National Lead, Environment Agency
The Data Wrestling MatchEllie Fitzpatrick, Data Framework & Policies Lead & Jocelyn Sheriff, Data Intelligence Lead, PwC
Launching and Embedding DG and MDM in WaitroseSiobhan Bowie, Head of Data Governance, Waitrose & Partners & Ralf Teschner, Global Lead for Data Governance, Capgemini
The Business Case for a Technology Capability to Transition through Metadata Management Maturity LevelsManrich Kotze, Team Leader: Data Governance, Capitec Bank
12:10 - 13:30 Networking Lunch, Exhibits & Lunchtime Sessions
13:30 - 14:15 Data Governance Keynote Panel: How Data Governance Can Help you Turn your Data Assets into Tangible ValueModerator: Gerard Bartley, Manager Global Master Data, Jacobs Douwe EgbertsPanellists: Stijn Christiaens, Collibra
14:25 - 15:10 Session and Speaker TBC Session and Speaker TBC Session and Speaker TBC Data Transformation Brick by BrickDonna Wayman, Head of UK Portfolio, Zurich Insurance
15:40 - 16:25 Data Governance Keynote: Shifting to AI Ready Governance: Practical Principles and Recipes, Dr. Fran Cardells, Special Advisor, Allianz
16:30 - 16:50 Plenary Keynote panel - Where Do We Go from Here? and Conference Close Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
Thursday 5 November 2020: Post Conference Workshops 09:00 – 16:30Building a Data Governance Business Case: Show the ValueHåkan Edvinsson, Informed Decisions Consulting
Advancing into Master Data ManagementWilliam McKnight, McKnight Consulting Group
Governance and Compliance in the Age of Self-Ser-viceDonald Farmer, TreeHive Strategy
irmuk.co.uk4
Pre-Conference Workshops | Monday 2 November 2020
Morning Workshops:
Kick-starting your Data Management Initiative in Four Simple StepsDr. Bas van Gils, Managing Partner, Strategy Alliance
It is increasingly recognized that data is a key asset that should be managed accordingly. One of the hardest steps in the data management journey is to actually get started. There is of-ten a long phase of aligning stakeholders and getting sufficient shared vision before any real changes are made. By the time the rubber hits the road, momentum is gone and the initiative is seen as yet another management fad with no real value. It should be possible to do this faster. In this workshop Bas will present an agile approach designed specifically to speed up this process. In the workshop, participants will work in small groups to solve a case, mimicking real-work workshops. Key deliverables that are covered are a qualitive business case, vision diagram, capability gap analysis, and high-level portfolio.
Learning points:
• Overview of an agile process for digital transformation, applied to building a data management capability
• Experience with building a qualitative business case, vision diagram, gap analysis, and portfolio setup
• Experience with presenting a data management roadmap to management
Getting Started with Data Quality – A PrimerJon Evans, Information Strategist & Founder, Equillian
Today, more than ever, the quality of data, un-derpinned by a robust approach to Data Quality Management, is critical to the success of every organisation. Unfortunately, it is a topic that is still impenetrable to many through the use of unfamiliar jargon and too much emphasis on technology.
In this half-day workshop, Equillian’s Jon Ev-ans will seek to redress the balance, by taking the audience on a journey from first principles right through to advice on establishing a Data Quality Programme. Along the way, both begin-ners and those already familiar with the topic will benefit from a business-focused approach, based on industry best practice coupled with many years of experience helping organisations tackle their Data Quality challenges.
The session will be structured around 5 key topics:
• The Truth About Data Quality
• The People Side of Data Quality
• Monitoring Data Quality
• Improving Data Quality
• Using Data Quality to Drive Data Governance
Effective Data Governance in a Transformation EnvironmentSam Cremins, Associate - Data Governance, The Pensions Regulator
We all face the challenges of delivering in our day job whilst wrestling with the demands of transformation and change projects that also comprise the core of our roles. Our workshop
will explore approaches to how you deliver effective data governance within a fluid agile transformational change environment.
Phil and Sam will share the lessons learned and key insights from the work done within a large scale, multi-workstream, enterprise wide data and technological change programme.
Participants will come away with a greater knowledge and understanding of the do’s and don’ts of keeping programmes governed and on-track.
Learning points:
• Effective Data Governance within an Agile Transformation Programme
• Maintaining the balance between Business as Usual and Programme goals
• The Lessons learned from a large scale, multi-workstream, enterprise wide data and technology change programme
Practical Reference and Master Data ManagementChris Bradley, Information Strategist, Data Management Advisors
Data is at the heart of ALL business, and the im-perative for becoming “Data Centric” is increas-ing rapidly. The root cause of the chaotic state of Information Architecture in large institutions today is the dominant application-centric mind-set that gives applications priority over data. This is widely seen in the number of copies of “core” data concepts stored across our organisa-tions – Customer Data, Product Data, Employee Data and so on.
With Data integration consuming 35%-65% of IT budgets, nevermore has the case been strong-er to manage the core shared data concepts for consistent use across the entire organisation.
This ½ day workshop will help you understand the need and benefits of Master & Refence Data Management. It will show the difference be-tween Master and Reference Data and provide practical approaches to get you underway in identifying and managing them.
Objectives:
• Learn how Master Data Management & the Data Centric approach interrelates.
• Understand the differences between Reference & Master Data and the management approaches to each of them.
• Discover the 4 generic Master Data Management architectures & their suitability in different cases.
• Learn how to identify and manage Master Data across the enterprise.
• Appreciate the different genres of Master Data Management technology solutions and the pitfalls to avoid
• Discover the different approaches for implementing Master Data Management.
• Learn about the other different MDM architectures, their suitability for different needs and how best to implement Master Data Management approaches.
• Understand the essential relationship between Master Data Management , Data Quality, and Data Governance
• Appreciate the under looked but critical aspect of Reference Data Management
• Learn why Data Governance is a critical factor for the success of a Master Data Management program.
Afternoon Workshops:
How to Build, Manage & Enhance a Data TeamGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts & Ieva Langenfelde, Data Governance Manager, Heineken
Data teams frequently operate in fast-moving environments, working cross-business with complex supporting processes. As such, they are often a challenge for effective management. This exciting workshop will explore the key aspects of building, managing and enhancing a data team and their operations, to help you more effectively manage your data.
We will dive into various key aspects of data management including setting the mission of the team, defining the scope of the work, how to structure a team, effective people recruitment, what sort of data management methodologies can be used, effective process design, SLAs, internal controls, tooling use, quality reporting together with managing day-to-day activities.
Delegates will take away:
• A clear understanding of the key elements of data management
• Real-life examples of pitfalls plus learnings
• Practical tips and hints about how to improve their own teams
Building a Business Aligned Data StrategyChris Bradley, Information Strategist, Data Management Advisors
Data is at the heart of ALL business, and the imperative for becoming “Data Centric” is in-creasing rapidly. The need for organisations to produce a wide-ranging Data Strategy is greater than ever, with the demands on becoming data focused, the increase in data regulations and the desire to achieve data driven business out-comes.
Nevertheless, creating an enterprise wide data strategy and the governance to support it can be a formidable task. Often, it’s difficult to know where to begin, and how best to prioritise efforts due to the large number of stakeholders and many competing initiatives.
Data is at the heart of all organizations, almost like blood flowing through its arteries and veins. However, all too often Information is not professionally managed with the rigour and discipline that it demands. Nonetheless the implications of poorly managed information can be catastrophic, from legal and other regulatory sanctions ultimately to business collapse.
Professor Joe Peppard (European School of Management, Cranfield) summed it up when he said: “the very existence of an organisation can be threatened by poor data”.
This ½ day workshop will provide practical approaches to get you started on your Data Strategy, the typical contents of a Data Strategy, and how to promote the strategy internally.
Objectives:
• Recognise what “Data Centric” really means and the implications for an organisation in adopting the approach;
• Understand the key components that comprise a Data Strategy.
• Learn how to create a case for obtaining business buy-in for a data strategy.
irmuk.co.uk 5
Pre-Conference Workshops | Monday 2 November 2020
• Understand the different types of Data Strategy and how to set the scope for it
• Learn how to create metrics for tracking the progress of your data strategy.
• Discover approaches and tips for promoting and implementing the data strategy.
Establishing Data Governance: Teaching Dumbo to FlyJohan Lindholm, Data Governance Lead, Göteborg Energi AB
This workshop is about how to establish Data Governance throughout an organization using a pragmatic and adaptable approach. It contains key learnings from rolling out DG in a mature utility company.
The presentation part will cover how Goth-enburg Energy established Data Governance throughout the organization. The workshop part will contain dialogues and proposals that can help delegates to establish DG in their or-ganizations.
Johan will show examples of how business changes and regulations contributed to estab-lish DG and led to operational improvements. He will present how managers and co-workers contributed in different ways, and present a timeline during 2014 – 2020, including progress and setbacks.
Johan will collect the delegate’s experiences regarding establishing DG; which roles that are committed and sponsoring and who is not, how their organisations looks like, what kind of chal-lenges they have, and with that in mind discuss how they can take DG to the next level.
Reduce, Reuse, Recycle - What to do when Data Governance has Been BinnedCharles Joseph, Founder, Datazed Ltd
Many organisations have tried to implement data governance programmes, with varying degrees of success. Where it has not gone well, it can be challenging to regain the trust of decision makers and stakeholders - let alone find additional budget.
This session will show you:
• How to analyse the current situation, avoid the “blame game”, and keep people engaged.
• How best to leverage existing materials and processes.
• How to win back the engagement of stakeholders.
“Best conference I have attended so far.”
Emeric Nectoux, Enterprise Architect,
Volvo
“Very good and inspirational. I especially enjoyed the use cases”
Helle Lindsted, Master Data Manager, Maersk
Supply Service
“Great meeting other people on the MDM & DQ journey, and that they are having the same problems. Most useful thing is hearing how people have overcome these.”
Paul Williams, Data Manager, United Utilities
“Superb conference. Will go back filled with great ideas. Where to start though?!”
Michael Sheahan, BI Manager, IKEA Service
Discounts
Group Booking Discounts:
2-3 Delegates 10% 4-5 Delegates 20% 6+ Delegates 25%
irmuk.co.uk
irmuk.co.uk
6
Post Conference Workshops:
Building a Data Governance Business Case: Show the ValueHåkan Edvinsson, CTO, Informed Decisions Consulting
The benefits of Data Governance (DG) and Data Quality (DQ) work are usually obvious within data management communities and among data processing professionals. But getting at-tention from middle and top management may be harder. The drivers for DG and DQ do not always correspond to organizational goals and KPI’s, and therefore the topic is not something managers are willing to prioritize. Further-more, quality matters and governance breathe diligent work, costs and overhead which is not always an attractive career path.
This session contains a set of real-world exam-ples from various presentations and situations where executive managers, middle managers and other stakeholders have been convinced about the benefits from DG and DQ.
The session includes the following:
• What knowledge to gather
• Gathering knowledge about the business environments
• Gathering knowledge about the business operations
• Gathering knowledge about the as-is; data and systems
• Gathering knowledge about the to-be; expectations, intentions, and roadmaps.
• Analysing the gathered information
• Examples of how to organize the gathered information
• Finding what is relevant and interesting
• Killer-slides
• Examples of metrics for a DG/DQ
• Preparing a presentation
• What to suggest
• Who to address
• Examples of situations to promote DG and DQ, and, situations to avoid
• Examples of presentation outline
• Presentation hints
• Preparing yourself
Advancing into Master Data ManagementWilliam McKnight, President, McKnight Consulting Group
Master data refers to the significant entities of the organization where there is considerable interest in and potential dispute over the build of an enterprise view.
Many companies today are codifying efforts to focus on master sets for customer, product and other subjects. This is being done to gain efficiencies and direct or indirect bottom-line company improvement. This session will dis-cuss a new look at how to continually architect MDM into evolving information management environments, how to keep the business case updated and its interaction with blockchain, artificial intelligence and graph.
The value of all data goes up exponentially when it can be coupled with corporate master data and MDM is one of the best means to com-pound the value of any data, including big data.
Learn about the major facets of MDM and how MDM is fundamental support for data and the many other components of the emerging infor-mation ecosystem which includes many ways to manage information.
This tool-agnostic session is recommended for shops in continually justifying and advancing their MDM program. The framework and re-sultant mindshift will help you appropriately keep MDM moving to the benefit of the organ-ization.
Learning Objectives:
• How does master data management fit into modern architecture
• How to keep a program expanding its value to the organization
• What the important things are to do to continue MDM success
Governance and Compliance in the Age of Self-ServiceDonald Farmer, Principal, TreeHive Strategy
In the past, only IT departments could deploy the expensive storage and computing power needed for effective analytics. Only IT under-stood the technical issues and—very impor-tantly—only IT could secure the data and the resulting analysis to ensure the right people had access to the right insights.
However, relations between business users and IT have changed dramatically. Beginning with mobile devices and extending to apps, infra-structure, and even data, users now have easy access to better technology and faster upgrades than IT can provision. Business analysts have embraced self-service business intelligence “with or without IT’s permission,” as analysts have noted. What can IT do now, in the age of self-service, to manage this rapidly changing environment? What can business users do to work more effectively with IT?
In this course we will lay out a new model of gov-ernance and compliance specifically tailored to the needs of organizations enabling self-service analytics.
You will learn:
• The factors that drive self-service adoption of new technologies, tools, and data
• Why a traditional data warehouse may not be right for managing self-service demands
• Whether a data lake or other big data architecture is suitable for managing self-service
• How IT can provision data and analytics services for business users
• What the responsibilities of business users are when working in a self-service mode, and how those responsibilities can be governed
• Why the “data supply chain” is a better model for self-service management than traditional life cycle models
• How users should choose tools for self-service business intelligence, and what are the most important features of the user experience that will benefit both ease-of-use and governance
“Very informative and enjoyable conference that I would recommend to colleagues”
Catherine Cave, Data Quality Manager, Barclays
“Great knowledge-sharing based on experience from many industries which still face similar challenges. Great source of inspiration and networking”
Karima Makrof, Enterprise Architect,
MDM, AB Volvo
“2 days well spent. Great mixture of presentations. Impressed by speakers and breadth of coverage.”
Lee Bailey, Senior Manager. BAE Systems
Detica
“Really important to combine MDM & Data Governance - gives a good mixture of content and attendees. More of the same next year please.”
Colin Wood, Enterprise Information Architect,
GlaxoSmithKline
Post-Conference Workshops | Thursday 5 November 2020
irmuk.co.uk 7
Tuesday 3 November 2020 : Conference Day 1 & Exhibits
09:00 - 09:10
Data Governance Conference and MDM Summit OpeningGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
09:10 - 10:00
Plenary Keynote:
10:10 - 10:50
Data Goverenance Keynote: Data Governance: Holding a Mirror to Your CompanyGuy Harvey, Data Transformation Lead, Siemens Managed Services
Ever thought why it’s taking so long to get started on Data Governance at your company and why all your efforts never seem to stick? Well, there just may be an answer. In order to get Data Governance established, it requires certain activities and behaviours but most of all its needs specific structures across the organi-sation to support it. In this presentation, I will go through some structures and behaviours across your organisation that are probably having a mirrored effect on your implementation of Data Governance.
Guy has been working with companies for over 25 years to help them gain value and insight from their data. with his efforts over the past 9 years focussed mainly on Data Governance. Whilst he openly admits, not all his endeavors have been totally successful, he has learned valuable lessons along the way and is always willing to pass on knowledge of those hard-earned yards to anyone wanting to learn more about what works and, more importantly, what doesn’t.
MDM Keynote: A Fireside ChatGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts & Niels Stenfeldt, CEO, Stibo Systems
Join Gerard Bartley for a fireside chat with Niels Stenfeldt, CEO of Stibo Systems, a leader in the field of master data management systems and the oldest software company in the world. This is a unique opportunity for delegates to hear the views of a senior industry player on such topics as the current perception of data (and its management) in companies, the real maturity of data governance in businesses, the role of soft-ware in data management and what the future holds for the data management industry.
Niels will also give delegates useful tips and
hints on software implementations, illustrated by real-life use cases - some good and some not so good – together with learnings.
10:50 - 11:20
Networking Break & Exhibits
11:20 - 12:05
A Case Study in Implementing a Data Governance HubMary Drabble, Principal Data Governance Analyst, Standard Life Aberdeen
Implementing a Data Governance Framework within a large company is never easy, but when trying to achieve this during an intense period of change, resulting from the merger of Aberdeen Asset Management and Standard Life Investments, is it possible to succeed? Add to that the fact the person responsible for embedding data governance into the culture of the organisation has just joined the firm and is new to Investment Management – what could go wrong?
This is a case study, covering 3 years of data governance implementation at Standard Life Aberdeen, set against a background of:
• Merger and Divestiture and issues with heritage
• Continuous organisation restructures within IT
• A technology set for which there are few skills in the market
• Funding and cost challenges
Data Management: from the TrenchesDr. Bas van Gils, Managing Partner, Strategy Alliance
If processes are the value creation engine of the organization, then data is the fuel. Data is the critical resource for almost any organization and should be managed as such. Organizations embarking on the data management journey often complain about yet another management framework to take into account, expecting more work, more overhead, more investment, and less agility. They couldn’t be further from the truth. In this talk, Bas will show that there is a vast body of practical guidance (theory, cases) that can be leveraged for building a data management capability. He will also show that people are the key to the balancing act between strategy and execution, business and IT, and between a top-down and bottom-up approach to data management.
Learning points:
• Theory is an excellent source for building an effective data management capability
• Building an effective data management capabilty is a balancing act: top-down vs bottom-up, business vs IT, srategy vs execution
• Data management is all about the people: do this well, or accept that you won’t get anywhere
The Golden Triangle of CRM, MDM and DMPYaniv Naor, Senior Global Master Data Management (MDM) Strategist and Business Lead, Hugo Boss
Following the digital transformation phase where organisations aim to be visible both online and offline, and the amount of data being created is more than ever before, the arising question is are we able to use this data more efficiently? How can we leverage the power of the various sources of data into triggering pin point communications that grow revenue for the organisation?
Learning points:
• Customer data - MDM , CRM and the missing link
• The differences between MDM and DMP
• How CRM , DMP and MDM work together to achieve perfection
Data is the New Oil? Data is Like Milk...Kitti Noemi Nemeth, Enterprise Data Manager Communications and Change Management, FrieslandCampina
Working at FrieslandCampina, a large diary production company, I recently had the op-portunity to work 10 months in Kuala Lumpur, managing a transforming team of 7 data stew-ards as a first time manager. Having few years experience in leading data management work-flow implementation projects, my first thought was to approach this assignment as a project – a lean project.
There were 3 aspects that needed to be ad-dressed:
• How to motivate data stewards and help them see the value of their work in the end- to-end value chain?
• How to transform the view of the internal customers (who are also the suppliers) on the importance of MDM?
• How to translate your dedication and enthusiasm about master data to a 2-minute pitch to executive leadership?
I will try my best to connect some basic dots to draw new shapes.
12:15 - 13:00
Exploiting Existing Projects to Deliver Data Governance InitiativesKaren Reeds, Data Governance Specialist, tada.data
As businesses embark on extensive transfor-mational journeys (digitisation, optimisation, continuous improvement etc, etc) the role of data has never been more important to the success of these projects. Unfortunately often these projects take vital funds, resources and expertise from Data Governance initiatives. How do you succeed with your Data Govern-ance programme in this environment? If you exploit these projects to prove the value of Data Governance activities it is often easier to get them prioritized in their own right.
Karen will talk about her experiences of inte-grating good practice Data Governance and wider Information Management capabilities
Group Booking Discounts:
2-3 Delegates 10% 4-5 Delegates 20% 6+ Delegates 25%
Discounts
irmuk.co.uk8
Tuesday 3 November 2020 : Conference Day 1 & Exhibits
into both waterfall and agile projects, providing insight on what worked and what didn’t with the hope that you’ll get some fresh ideas to take back to your business to kick start your delivery through existing investments enabling future growth.
Learning points:
• Suggestions for integrating Data Governance into projects
• Suggestions for measuring the success of these integrations
Effective Data Governance Programme PlanningGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
Just starting to implement governance and hoping for the best seldom works. Effort will be directed in the wrong places, time will be wast-ed and momentum lost. To be successful, a data governance programme requires detailed plan-ning and this session will guide the delegates through the critical elements in a planning such a programme – where to start, where to finish and what to do in between.
All businesses are different so no two plans can be the same. Hence, this modular approach allows you to understand what is important to your organisation and tailor your programme to add the most value.
Delegates will take away:
• A data governance planning methodology
• Real-life examples of pitfalls plus learnings
• Practical tips and hints about how to plan their own data governance programmes
How Good is Your Data?Karen Wood, Senior Manager, Master Data , Walgreens Boots Alliance
It’s an easy question to ask but can seem like a difficult – and expensive - question to answer.
In WBA, we’ve been looking for new ways to re-port on the quality of our product information. By keeping it simple, we’ve created a quick and low cost way to describe our current reality, drive immediate improvement and build a case for strategic change.
Key messages:
• Wherever you are, start there - Real life experiences of creating a data quality scorecard from scratch
• There’s no such thing as bad publicity - Publishing performance metrics creates engagement across the business, whether you like it or not!
• Find the right owner - Securing data ownership at the most senior level, can step change the priority placed on getting data right
External Data Management – Integral Part of the Data GovernanceMinna Stjernvall, Concept Owner of the External Data Services, OP Financial Group & Jussi Jutila, Lead Enterprise Architect, Siili Solutions Oyj
Based on our experience, the utilization of
external data is booming in Finland. There are many providers for the data acquired from the external sources. Even governmental authori-ties have opened access to their data.
The rapid growth and primitive methods of governing the data causes extra costs, ineffi-ciency and low integrity for the data. The lines of businesses are procuring the data directly from separate sources and inside the company there are different stakeholders procuring the same data from different or same sources. All this is creating data management to be more and more complex in the companies.
The reliable data is the cornerstone for intelli-gent services in the digital business. The need for reliable data is high. It is the key to be able to make fact based and fast business decisions in fragmented and disrupted markets.
The external data governance can be great competitive business advantage, but it can be easily lost.
It is high time to get this under control!
Learning points:
• How to organize virtual Center of Excellence
• Identify and commit internal and external stakeholders
• Establish and manage governance
• Create critical business cases based on business drivers
• Distribution and quality management of external data
13:00 - 14:30
Networking Lunch, Exhibits & Lunchtime Sessions
14:30 - 15:15
MDM Keynote: Artificial Intelligence and Master Data Management: Hand in HandWilliam McKnight, President, McKnight Consulting Group
Companies all over the world are going through digital transformation now, which in many cases is all about maturing the data en-vironment and the use of data. Master data is key to this effort. All transformative projects require master data and usually many subject areas. Current efforts to deliver master data to the enterprise are cumbersome, inefficient and met with limited acceptance. Can artificial intelligence help?
We’ll look at enterprise use cases of artificial intelligence and show the master data that is needed. We’ll see what some MDM vendors are doing with AI and how the future of MDM will be shaped by looking at some specific MDM actions influenced by AI.
15:25 - 16:10
Data Governance is About Change: How Göteborg Energi Established Data GovernanceJohan Lindholm, Data Governance Lead, Göteborg Energi AB
This is the story of how Göteborg Energi (Goth-enburg Energy) established Data Governance throughout the organisation using a pragmatic and adaptable approach. This presentation contains key learnings from rolling out DG in a mature utility company.
It will cover how Gothenburg Energy established Data Governance throughout the organisation. Johan will show examples of how business changes and regulations became opportunities for DG, which contributed to establish DG, and also led to operational improvements.
Johan will show how managers and co-workers contributed in different ways, such as:
• The top management who granted their DG framework
• The entity managers who took on responsibilities and took actions driven by DG
• Data workers who contributed to effective compliance of regulatory requirements, with the support of DG
DG and MDM - Managing Sibling RivalryCharles Joseph, Founder, Datazed Ltd
Data Governance and Master Data Manage-ment are both key to any organisation working with large amounts of data.
However, there is often confusion about how DG and MDM interact, which can lead to sepa-rate projects repeating work, contradicting each other, or leaving gaps in scope.
This session will:
• Provide clarity on which activities are part of a Data Governance Framework; and which are part of MDM.
• Demonstrate DG and MDM interact in ways that add value to the business.
• Explain how, by developing DG and MDM together, each of them can deliver more effectively.
Product Data Vision as Foundation of State of the Art PIM and Multi Domain Data Models Kersten Wirth, Managing Partner, PIM-Consult GmbH
Are you also aiming at 100% Data Quality? Are you aware of the actual requirements and met-rics to achieve this goal?
While the KPI seems to be clear, most business-es have no understanding of the detailed re-quirements as well as the organisational impact and thus fail to deliver.
Technology is a crucial driver for data models and data quality, which is one of the reasons for failed projects and missed opportunities. PIM-Ecosystems and Multi-Domain-Infrastruc-ture require a well-thought data model and a
irmuk.co.uk 9
Tuesday 3 November 2020 : Conference Day 1 & Exhibits
clear understanding of internal and external channel requirements.
Insights into real-life projects and concepts covering:
• The PDV – central component of digitalisation strategies
• Creation and adoption von PIM- Datenmodells
• A course of action for efficient data and quality management
England Cricket Pushing the “Boundary” with Their DataDamian Smith, Head of IT, England and Wales Cricket Board
“Becoming evidence-based rather than gut-feel-based” by Damian Smith, England and Wales Cricket Board, ECB’s, Head of IT.
Discover how Damian delivered his vision of ubiquitous, pervasive data and sophisticated analytics across all cricket by implementing in-novative data management in cloud-based data lake environment. Leading to increased use of Machine Learning and Artificial Intelligence; medical imaging, bio-mechanical analysis and advanced analytics to present trusted and actionable information in the hands of players, selectors, medics, coaches, administrators and fans to inform and grow participation, develop clubs and activities, launch new franchise and spot up and coming talent.
The ECB’s ‘Single View of Cricket’ merges in-ternal and external sources into their customer master as a foundation to feed big data analytic tools and inform everything from initiatives to get more people participating in cricket, to un-derstanding societal trends and dynamics that influence people’s choice of pastime.
Key takeaways:
• How mastering their “people” data unlocked data-driven innovation from junior cricket to winning the world cups
• Use of cutting-edge tools and technology to realise the wider value of mastering their data
• What the ECB learnt while on their transformational journey
16:10 - 16:40
Networking Break & Exhibits
16:40 - 17:05
Leading a Tool-Centric Data Governance Effort Without a CDOBenjamin Bunting, Global Data Steward, Aegon Asset Management Europe
Although 90% of companies now have a CDO you may find yourself in one of the holdouts. Giving up is not in your blood, so you seek to persuade, influence and lead by example through driving data governance tool adoption. This presentation describes my experiences breaking the ground for our (future) CDO.
Governance, Migration & Change! The Three Musketeers for Improving Your Data EstateSam Cremins, Data Governance Advisor, The Pensions Regulator
This topic will cover the cross leveraging of Data Governance, Data Migration and Change Programmes as tools improve your data estate. How can we use a Data Migration to improve your Data Governance and Data Governance Improve your migration? What sort of change programmes are the best candidates and ben-efit most? Touching on the overlaps between statutory roles such as Data Owners, Product Owners, Business Owners, and how working each of these parts in cohesion leads to best outcome for your data estate.
Learning points:
• How to leverage change programmes for better Data Governance
• How to stronger data governance improves migration outcomes
• How to allow change, migration and governance to compliment rather than conflict
How Data Governance Supports Data Science at Dwr Cymru Welsh WaterJustin Doran, Data and Analytics Manager (Data Governance), Dwr Cymru Welsh Water
A large percentage of a Data Scientists time can be spent finding, accessing, cleansing, and organising data, leaving less time to carry out meaningful analysis of the data. The Data Team at Dŵr Cymru Welsh Water have implemented a collaborative approach to support the data project lifecycle which enables more effective use of Data Scientists time to focus on their strengths. Incorporating the engagement of Data Owners and Data Stewards into the process also provides a major benefit in under-standing the datasets available to them.
The importance of Data Governance at Dŵr Cymru Welsh Water or any organisation is clear, Data Science projects based on bad data can prove ineffective. This presentation will focus on:
• The data challenges in the water industry
• Data Team collaboration at Dŵr Cymru Welsh Water
• Our Data Governance approach - WISER
• Our current focus and what’s ahead
17:05 - 18:05
Networking Drinks Reception and Exhibits
Wednesday 4 November 2020: Conference Day 2 & Exhibits
09:00 - 10:00
Plenary Keynote: The Culture of GovernanceDonald Farmer, Principal, TreeHive Strategy
Data Governance is top of mind for many ex-ecutives and managers today and there are a wide variety of tools and frameworks offering to help. But one aspect is often overlooked - the organizational culture that enables governance as a practice.
Current governance programs too often treat users as unreliable, or even malicious, by default. Yet the overwhelming majority of business and IT professionals simply want to do their job as effectively as possibly. Programs which get in their way will be worked around or defied. Programs which work with their inter-ests will be supported.
In this keynote, we’ll explore how we can build an organizational culture which supports and enhances governance. We’ll look at frameworks for developing a community of practice and tools for enabling and measuring engagement, compliance and collaboration.
We’ll draw on world-wide examples and intro-duce techniques which are suitable for a wide range of organizational styles, with an emphasis on promoting and analyzing best practices.
10:00 - 10:30
Networking Break & Exhibits
10:30 - 11:15
How to Answer the Difficult Questions about Data GovernanceIeva Langenfelde, Data Governance Manager, Heineken
Data Governance rollout in the organisation is not as equally welcome as an announcement about free lunches in the canteen, or company Summer Party. There will be some challenges - because there will be a lot of questions that need to be answered, from all levels in the or-ganisation, from all possible angles.
Many will understand the benefits of Data Governance and realize that is going to help the Company, the users, the processes, and the data, and they will be excited and happy and supportive about this project and will jump in to help you to roll it out. However there also will be some who will need more explanation, clarification, and discussion first. Not all will love this project. Not all will believe it’s the right thing to do. Not all will want to immediately support you. Not all will understand what it is about. Some will be very sceptical, and some will even go against it. You will receive the questions from people who are directly impacted, as well as from those who have just heard about your project and who will want to know more - for all different reasons, good and bad.
You have to be ready to answer all these ques-tions, especially in the beginning of the project; you need to make sure that your project does not fail, that you are able to represent it con-vincingly, and that you make everyone comfort-able with the answers you give. I want to help you to prepare for this - I’ll share the questions you might get, and how to prepare the answers
irmuk.co.uk10
Wednesday 4 November 2020 : Conference Day 2 & Exhibits
for each of them. You’ll leave this session with a nice little wiki-how questions & answers tem-plate, and a set of ideas how to fill this template further in with your own answers that match your organisation.
• What is Data Governance?
• What’s in it for me?
• Why do we need this? Is something broken?
• What is the scope of it?
• Is this a new tool implementation?
• Who’s going to have a role in this? Who will assign the roles?
• Why did you reach out to me and not someone else? How did you find me?
• How many more extra hours will this take for me? I am too busy already.
• Does my manager know about it? Did you talk to him? Does HR know?
• What is going to change? How is that going to be better?
• Who is supporting it? Who is the sponsor?
• Why haven’t I seen anything on the company website about it?
• etc, etc.
Where’s Wally? Unearthing & Aligning MDM Efforts at FarfetchYasemin Kural, Head of Data Architecture & Miguel Jorge Macedo, Data Governance Manager, Farfetch
Farfetch, as a technology platform that has grown phenomenally since its inception, relies on its talented and enthusiastic teams of data scientists and analysts to fulfil its mission to be the global technology platform for luxury fashion.
These teams are expected to respond to chang-es in the marketplace and our business model with great speed and agility. This ethos can breed a “thinking fast” mindset, where individ-uals may be tempted to solve their data issues with quick fixes instead of using proper change/issue management channels or exploring or-ganisation-wide consensus. This in turn leads to a cottage industry of little analytical models/dimensions and quick fixes, leading to increased complexity and disconnects without addressing the root causes of data issues.
In this presentation, we share our efforts and progress to date to align our data engineering, analyst and data science communities towards a shared business model and data for our core data domains.
Key Learnings:
• In our fast-paced e-commerce environment, it can be easy to overlook the importance of data and analytics governance for delivering the expected business outcomes in a sustainable manner. For us, it is imperative to reach and prove value to the new generation of analysts and data scientists for whom Data Governance, Data Warehousing, Master Data Management may all seem solutions of the past or too slow to meet their needs.
• Widespread adoption of Data Quality initiatives takes time and effort. We need to be prepared to cater for different paces of adoption from different parts of the business.
• We cannot boil the ocean or slow down the pace of change in our evolving data models. Instead, we strive to deliver maximum impact with minimal governance by focusing on critical data elements and more stable parts of our business model, extending the scope gradually to faster changing areas.
Master Data Processes: the Backbone of Successful MDM System ImplementationsDr. Christiana Klingenberg, Lead Business Consultant Master Data Management, msg systems ag & Thomas Brandstätter, Head of Digital Information Management in Corporate Marketing, WAGO Kontakttechnik GmbH
When implementing MDM Systems, generally the focus is on implementation and migration tasks. Nevertheless, the discussion and defi-nition of data maintenance processes is fun-damental for the successful implementation. Since subject matter experts and data stewards are dealing during their daily operational business with the MDM system, they are the persons judging if the implementation was successful. They see if the use is a relief to their work in comparison with the situation before the system was implemented.
In this talk we show a best practice approach in how to define most important data mainte-nance processes. Major gains are the possibility to answer four basic questions:
• How to ensure basic master data quality during master data maintenance processes?
• How the data should ideally be maintained in the future?
• How the system should support it?
• How can be assured that all colleagues with the same role work with the system in the same way?
Data Quality by Design and by Default - Model GDPR Concepts for Data ProtectionMichael McMorrow, Principal, MMM Data Perspectives
The consistently massive challenge for data governance, data quality and data protection is that they require adoption at a cultural level across the business – everyone is responsible for their bit. GDPR Article 25 describes the principle of “Data Protection by design and default” and , while this is still fresh in the organ-isational memory, Data Quality should consider modelling that approach.
This practical session, from the speakers expe-rience, covers:
• Raising organisational awareness of definitions and scope (dimensions of data quality, ensure versus assure, breadth of data types and media etc.)
• Introducing a mandatory DQIA (data quality impact assessment) within the formal change process
• Maintaining central “Record of Data Quality Issues” (ideally linking to existing organisational artefacts within Operational risk and Incident Management).
11:25 - 12:10
10 Years On: Success, Difficulty, Evolution: The History of Data Governance in a Government OrganisationIain Andrews, Data Integrity and Flood Data Manager & Nick Keen, Data Governance National Lead, Environment Agency
The Environment Agency is a public sector organisation responsible for many aspects of all our lives – from climate change to drinking wa-ter, fisheries to waste disposal and much more. A large, diverse organisation relies on good quality and available data to make decisions, secure investment and serve the public. We’ve been on our data governance journey for 10 years now and have come a long way. However, not everyone understands that data is the key, often hidden asset, for success.
It’s not been easy. We have had, and still have, challenges but we have learnt a lot. Our session will show what has worked for us, what hasn’t and highlight the successes the organisation has had as a result. Our journey has evolved and continues to do so but we have more and more people coming on board and data is increasingly now on all agendas.
Learning points:
• How you can help your business understand the importance of data
• How staff have a key role to play in maximising the value of the data and what they can do
• Some hints on successful approaches to influence your organisation’s leaders (and some not to use)
• Some tangible successes of successful data governance in a public sector organisation.
• Reassurance that you aren’t alone with any struggles!
The Data Wrestling MatchEllie Fitzpatrick, Data Framework & Policies Lead, PwC & Jocelyn Sheriff, Data Intelligence Lead, PwC
It’s the world wide data wrestling competition, and the teams break down as follows:
• IT: “we know about data, we’ve been doing data for years, what do you mean we don’t have a data strategy”
• Cyber Security: “we know about data and we need to secure everything, lock it all down we say”
• The business: “look at all the cool ways we can use our clients data, GDPR who????”
• The data governance team: “we’re the new kids on the block, and we’re really up against it”
How do data governance teams wrestle effectively with all of these different teams and perspectives to come up with a coherent and useful data governance strategy?
Delegates will learn how we’re approaching this at PwC, some of the pitfalls and things we’ve learnt along the way.
irmuk.co.uk 11
Wednesday 4 November 2020 : Conference Day 2 & Exhibits
Launching and Embedding Data Governance and MDM in WaitroseSiobhan Bowie, Head of Data Governance, Waitrose & Partners & Ralf Teschner, Global Lead for Data Governance, Capgemini
In 2017, Waitrose launched an MDM and DG programme to create a sustainable, flexible source of high-quality master data. This is meant to support several strategic transformation programmes around customer experience, im-proved food service, and new ways to grow the business, whilst maintaining business-as-usual activity. Historically, Waitrose had not valued data as the core of our business. So how did we start caring? How did we transform our data within 18 months?
• Establishing clear business data requirements sponsored by the board
• Building and running a multi-stream data transformation programme covering several critical data domains
• Securing the support and active involvement of more than 40 important business and IT stakeholders
• Choosing the right technology, methodology and implementation partner
The Business Case for a Technology Capability to Transition through Metadata Management Maturity LevelsManrich Kotze, Team Leader: Data Governance, Capitec Bank
The Data Strategy was signed off and Metadata Management is at maturity level 1. How do we transition to a target maturity level of 4?
The business case is key in the case for a tech-nology capability to enable efficient Metadata Management. The session will include what the steps are to achieve Executive buy-in and selecting to appropriate tooling set to fit your organisational needs, from a technical, way of work and budgetary point of view. This includes a summary of quantifying the value of Metada-ta Management, technology evaluation phases, scorecards to evaluate, TCO, negotiations, POCs, implementation, team structures, MVPs, road maps and optimised roll out of the tool.
• Quantification of Metadata Management value
• Efficient evaluation of multiple technologies
• Selecting the appropriate tooling set
• Roll out of Metadata Management utilising technology
12:10 - 13:30
Networking Lunch, Exhibits & Lunchtime Sessions
13:30 - 14:15
Data Governance Keynote Panel: How Data Governance Can Help you Turn your Data Assets into Tangible ValueModerator: Gerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
Panellist: Stijn Christiaens, Co-founder & CTO, Collibra
Data is nowadays one of the most valuable assets an organisation can own and many strive to become more data-driven to succeed in an increasingly competitive environment. However, becoming data-driven is easier said than done. Many companies around the world are struggling to leverage their data assets to its fullest potential. A major cause of this is the absence of a data-driven culture within the organisation as well as the lack of the necessary technology to support the transformation. The panel will discuss how data governance plays a critical role in enabling an organisation to become data-driven and highlight use cases illustrating how Data Governance can help to transform data assets into tangible value.
14:25 - 15:10
Data Transformation Brick by BrickDonna Wayman, Head of UK Portfolio, Zurich Insurance
If data was Lego, Zurich have undertaken a journey from a jumble of bricks in a box to an ordered and sorted stack with clear instruc-tions. This session will bring to life the practical change and transformation techniques utilised to create a Strategic Data Asset and drive data transformation one brick at a time. It will include an exploration of the key pitfalls and the important of incremental steps in order to achieve whole scale transformation. The story will be told with a little bit of Lego and a lot of experience including:
• How to introduce portfolio management to enable transformation across multiple areas of change
• Translating data and tech to gain board level buy in to integrate change
• The importance of aligning business change and data change to achieve the desired outcome whilst minimising risks
15:10 - 15:40
Networking Break & Exhibits
15:40 - 16:25
Data Governance Keynote: Shifting to AI Ready Governance: Practical Principles and RecipesDr. Fran Cardells, Special Advisor, Allianz
Data has proven its solid value as a business as-set and its vital role enabling AI. AI brings both unprecedented opportunities and risks. Given the increasing negative effects and negative press, with bots and algorithms operating far from corporate code of conduct, boards have
made this topic a strategic imperative. Boards approach the topic from an ethical perspective such as Responsible AI and AI Ethics, yet far from operationalization. The aim of this pres-entation is:
• Explaining the agency problem in AI - where humans in the loop are not controlled
• Gaining intuition of the consequences
• Reviewing practical approaches drawing from the speakers professional experience
Plenary Keynote Panel - Where Do We Go From Here? And Conference CloseGerard Bartley, Manager Global Master Data, Jacobs Douwe Egberts
During the conference, the delegates have listened to over 60 speakers, heard many case studies, received practical tips to help them in their daily lives and hopefully made some great new contacts. As we leave, we would like to summarise and discuss some of the important themes from the conference, asking where we go from here and get some views from delegates, in this highly interactive session. We’ll also be discussing the delegates’ biggest challenges they currently face (plus how the conference will help them with those) and what has struck a chord with them during the week.
irmuk.co.uk
2-5 November 2020 • The Tower Hotel • London
Cancellation Policy:Cancellations must be received in writing at least two weeks before the commencement of the conference and will be subject to a 10% adminis-tration fee. It is regretted that cancel-lations received within two weeks of the conference date will be liable for the full conference fee. Substitutions can be made at any time.
Cancellation Liability:In the unlikely event of cancellation of the conference for any reason, IRM UK’s liability is limited to the re-turn of the registration fee only. IRM UK will not reimburse delegates for any travel or hotel cancellation fees or penalties. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers, date and venue of the con-ference.
Conference Location: The Tower Hotel St Katharine’s Way London E1W 1LD
Tel: +44 207 523 5063 www.gouman.com/en/london/the-tower.
html
Hotel Accommodation Details: IRM UK in association with P&G Management have arranged special discounted hotel rates at hotels nearby. Contact P&G Management Email: [email protected]
Tel: +44 (0)84 5680 1138 Fax: +44 (0)84 5680 1139
www.pandgmanagement-bookings.
co.uk/IRM
Group Booking Discounts:
2-3 delegates 10% • 4-5 delegates 20% • 6+ delegates 25%
Co
pyri
ght
©2
02
0 IR
M U
K S
trat
egic
IT T
rain
ing
Ltd
Pro
du
ct a
nd
co
mp
any
nam
es m
enti
on
ed h
erin
may
be
trad
emar
ks
and
/or
regi
ster
ed t
rad
emar
ks o
f th
eir
resp
ecti
ve c
om
pan
ies.
Data Governance Conference & Master Data Management Summit
Europe • 2-5 November 2020 • London
Follow us @IRMUK www.twitter.com/IRMUK Event hashtag #MDMDG
Search for the MDM Summit & Data Governance Conference Europe in LinkedIn Group
HOW TO BOOK
Registration Fees:Full payment or a purchase order is due prior to the conference. Payment may be made in Sterling (£) or Euros (€).
If paying in Euros the prevailing exchange rate of the country of the delegate or delegates’ company is to be used. The total Euros remitted should be the amount required to purchase the sterling pound cost of the event on the day of payment.
All delegates must add VAT (20%) to their total conference fees. VAT may be reclaimed by delegates from the tax authorities after the event..
Face to Face Fees
Four Days Fee: £1,995 + VAT (£399) = £2,394
Three Days Fee: £1,595 + VAT (£319) = £1,914
Two Days Fee: £1,295 + VAT (£259) = £1,554
One Day Fee: £795 + VAT (£159) = £954
Live Streaming Fees
Four Days Fee: £1,895 +VAT (£379) = £2,274
Three Days Fee: £1,495 + VAT (£299) = £1,794
Two Days Fee: £1,195 + VAT (£239) = £1,434
One Day Fee: £695 + VAT (£139) = £834
The registration fee includes the conference lectures, downloadable conference slides (no printed ver-sion of this is made available at the event), refreshment breaks and lunch on each day of the conference. The cost of hotel accommodation is not included in the conference fee.
IRM UK Strategic IT Training Ltd2nd Floor, Monument House 215 Marsh RoadPinner, Middlesex HA5 5NE UK Telephone: +44 (0)20 8866 8366
E-mail: [email protected]
Website: www.irmuk.co.uk
Booking reference:
Please quote this booking code
when registering: IRM
If you cannot attend:
You can purchase the conference
proceedings for £300
2020 Conferences:
HOW TO REGISTER
21-23 September 2020, London
26-29 October 2020, London
26-29 October 2020, London
2-5 November 2020, London